Aurora-10.7b_Base

Aurora-10.7b_Base is a merge of the following models: to create a 10.7b base model that can be trained.

Merged Evals: (Has Not Been Finetuned)

Aurora-10.7b_Base

Avg: 63.98
ARC: 62.88
HellaSwag: 83.99
MMLU: 60.24
T-QA: 67.84
Winogrande: 76.4
GSM8K: 32.52

(OG)Donated Evals:

Mistral-7b-v0.2

Avg: 65.71
ARC: 63.14
HellaSwag: 84.88
MMLU: 60.78
T-QA: 68.26
Winogrande: 77.19
GSM8K: 40.03

🧩 Configuration

slices:
  - sources:
    - model: mistralai/Mistral-7B-Instruct-v0.2
      layer_range: [0, 24]
  - sources:
    - model: mistralai/Mistral-7B-Instruct-v0.2
      layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Steelskull/Aurora_base_test"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])